Papers › The Traitors: Deception and Trust in Multi-Agent Language Model Simulations

The Traitors: Deception and Trust in Multi-Agent Language Model Simulations

19 May 2025arXiv:2505.12923archive 2025-07-28

Pedro M. P. Curvo

As AI systems increasingly assume roles where trust and alignment with human values are essential, understanding when and why they engage in deception has become a critical research priority. We introduce The Traitors, a multi-agent simulation framework inspired by social deduction games, designed to probe deception, trust formation, and strategic communication among large language model (LLM) agents under asymmetric information. A minority of agents the traitors seek to mislead the majority, while the faithful must infer hidden identities through dialogue and reasoning. Our contributions are: (1) we ground the environment in formal frameworks from game theory, behavioral economics, and social cognition; (2) we develop a suite of evaluation metrics capturing deception success, trust dynamics, and collective inference quality; (3) we implement a fully autonomous simulation platform where LLMs reason over persistent memory and evolving social dynamics, with support for heterogeneous agent populations, specialized traits, and adaptive behaviors. Our initial experiments across DeepSeek-V3, GPT-4o-mini, and GPT-4o (10 runs per model) reveal a notable asymmetry: advanced models like GPT-4o demonstrate superior deceptive capabilities yet exhibit disproportionate vulnerability to others' falsehoods. This suggests deception skills may scale faster than detection abilities. Overall, The Traitors provides a focused, configurable testbed for investigating LLM behavior in socially nuanced interactions. We position this work as a contribution toward more rigorous research on deception mechanisms, alignment challenges, and the broader social reliability of AI systems.

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compute_traitors_game_metrics pedrocurvo/thetraitors/src/utils/metrics.py official repository unverified MIT (permissive) · 9be378eafce350e8 · report
compute_traitors_game_metrics pedrocurvo/thetraitors/utils/metrics.py official repository unverified MIT (permissive) · fb4ca4848ddac9ce · report
get_agent_config pedrocurvo/thetraitors/utils/config.py official repository unverified MIT (permissive) · 3897c0ded21512a2 · report
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Language ModelingLanguage ModellingLarge Language Model

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